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Abigail M. Y. Koay
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2020 – today
- 2024
- [j4]Declan Humphreys
, Abigail M. Y. Koay
AI hype as a cyber security risk: the moral responsibility of implementing generative AI in business. AI Ethics 4(3): 791-804 (2024) - 2023
- [j3]Abigail M. Y. Koay
Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges. J. Intell. Inf. Syst. 60(2): 377-405 (2023) - 2022
- [j2]Harry McCarthy, Abigail M. Y. Koay
Benchmarking and learning garbage collection delays for resource-restricted graphical user interfaces. Softw. Pract. Exp. 52(1): 172-193 (2022) - [c10]Hansi Gunasinghe, James McKelvie, Abigail M. Y. Koay
Domain Generalisation for Glaucoma Detection in Retinal Images from Unseen Fundus Cameras. ACIIDS (2) 2022: 421-433 - [c9]Jonathan Wilton, Abigail M. Y. Koay, Ryan K. L. Ko, Miao Xu, Nan Ye:
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization. NeurIPS 2022 - [i2]Jonathan Wilton, Abigail M. Y. Koay
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization. CoRR abs/2210.08461 (2022) - 2021
- [c8]Hansi Gunasinghe, James McKelvie
Comparison Of Pretrained Feature Extractors For Glaucoma Detection. ISBI 2021: 390-394 - [c7]Taejun Choi, Ryan K. L. Ko
Plan2Defend: AI Planning for Cybersecurity in Smart Grids. ISGT Asia 2021: 1-5 - [c6]Abigail M. Y. Koay
SDGen: A Scalable, Reproducible and Flexible Approach to Generate Real World Cyber Security Datasets. UbiSec 2021: 102-115 - 2020
- [c5]Yunjie Lisa Lu, Abigail M. Y. Koay, Michael Mayo:
In Silico Comparison of Continuous Glucose Monitor Failure Mode Strategies for an Artificial Pancreas. KDH@ECAI 2020: 53-57 - [c4]Rhys Compton, Eibe Frank, Panos Patros, Abigail M. Y. Koay
Embedding Java Classes with code2vec: Improvements from Variable Obfuscation. MSR 2020: 243-253 - [i1]Rhys Compton, Eibe Frank, Panos Patros, Abigail M. Y. Koay:
Embedding Java Classes with code2vec: Improvements from Variable Obfuscation. CoRR abs/2004.02942 (2020)
2010 – 2019
- 2019
- [b1]Abigail M. Y. Koay:
Detecting High and Low Intensity Distributed Denial of Service (DDoS) Attacks. Victoria University of Wellington, New Zealand, 2019 - [c3]Abigail M. Y. Koay
(Short Paper) Effectiveness of Entropy-Based Features in High- and Low-Intensity DDoS Attacks Detection. IWSEC 2019: 207-217 - [c2]Vladimir Podolskiy, Michael Mayo, Abigail M. Y. Koay
Maintaining SLOs of Cloud-Native Applications Via Self-Adaptive Resource Sharing. SASO 2019: 72-81 - 2018
- [j1]Qaisar B. Shafi
Fog-Assisted SDN Controlled Framework for Enduring Anomaly Detection in an IoT Network. IEEE Access 6: 73713-73723 (2018) - [c1]Abigail M. Y. Koay
A new multi classifier system using entropy-based features in DDoS attack detection. ICOIN 2018: 162-167
Coauthor Index
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